Threading Zmax Znorm MUSTER 9.53 1.64 dPPAS 19.74 2.12 wdPPAS 22.74 2.44 wMUSTER 12.80 2.21 wPPAS 17.98 2.57 dPPAS2 59.66 5.68 PPAS 14.44 2.06 Env-PPAS 18.25 2.28 ================================================================== | Estimated accuracy of your models | ================================================================== Estimated Clusters (N=20200) --------------------- ------------------ Model# C-score TM-score RMSD (A) #decoys density ------ ------- ---------- -------- ------- ------- model1 0.60 0.79+-0.09 3.3+-2.3 20164 0.693 model2 -5.00 46 0.001 model3 -4.63 103 0.004 model4 -2.30 1245 0.038 model5 0.68 18305 0.749 C-score is a confidence score of the I-TASSER predictions which is typically in [-5,2]. TM-score and RMSD measure how close the model is to the native structure and both are estimated based on the C-score. TM-score is in [0,1] with a value >0.5 implying the model of correct topology. The TM-score and RMSD estimations are made only for the first model because absolute values of TM-score and RMSD for the lower-rank models do not strongly correlate with the C-score. The models are ranked based on the structure density of I-TASSER simulations. Please cite following articles when you use the I-TASSER Suite: 1. Y Zhang. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics, 9: 40 (2008). 2. A Roy, A Kucukural, Y Zhang. I-TASSER: a unified platform for automated protein structure and function prediction. Nature Protocols, 5: 725-738 (2010). 3. J Yang, A Roy, Y Zhang. Protein-ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment. Bioinformatics, 29:2588-2595 (2013).